← Search

Yannick Toussaint

2 accepted papers

2023

Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers

ACL 2023findings

Without any explicit cross-lingual training data, multilingual language models can achieve cross-lingual transfer. One common way to improve this transfer is to perform realignment steps before fine-tuning, i.e., to train the model to build similar representations for pairs of words from translated…

2018

Cross-Corpus Training with TreeLSTM for the Extraction of Biomedical Relationships from Text

ICLR 2018workshop

A bottleneck problem in machine learning-based relationship extraction (RE) algorithms, and particularly of deep learning-based ones, is the availability of training data in the form of annotated corpora. For specific domains, such as biomedicine, the long time and high expertise required for the de…

Cited by 1SourceScholar